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Characterization of promoter elements responsive to the quorum sensing (QS) auto-inducer 2 (AI-2) in Zymomonas mobilis

Grant number: 17/13197-8
Support type:Program for Research on Bioenergy (BIOEN) - Regular Program Grants
Duration: October 01, 2017 - April 30, 2020
Field of knowledge:Biological Sciences - Biochemistry
Principal Investigator:Luiz Roberto Nunes
Grantee:Luiz Roberto Nunes
Home Institution: Centro de Ciências Naturais e Humanas (CCNH). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil
Assoc. researchers: Adrian Robert Walmsley ; Ivarne Luis dos Santos Tersariol

Abstract

The gram-negative bacterium Zymomonas mobilis presents several characteristics that make it suitable for industrial production of different bioproducts, including bioethanol. For example, Z. mobilis can be grown under both aerobic and anaerobic conditions, is capable of converting glucose to ethanol with an even greater efficiency than Saccharomyces cerevisiae itself and tolerates higher concentrations of this alcohol during the fermentation process. In addition, genetic manipulation techniques have been developed for this bacterium, which has been genetically modified and/or adapted to produce several value-added products of high economic interest (such as levan, sorbitol, lactate, polyhydroxybutyrate and 2,3-butanediol, among others). Moreover, additional genetic manipulations have also resulted in strains capable of incorporating alternative carbon sources into their metabolic pathways, such as the pentoses xylose and arabinose. Thus, Z. mobilis is currently regarded as a microorganism of great potential for the bioconversion industry and a better understanding of the mechanisms that control expression of its genes may aid the development of new genetically manipulated strains to assist in a variety of industrial applications. In this sense, it has been recently demonstrated that Z. mobilis is able to respond to the type 2 quorum sensing (QS) inducer, known as auto-inducer 2 (AI-2). AI-2 is one of the molecules used by bacteria to control the QS process, responsible for assessing the cellular density in their surrounding environment and synchronizing bacterial behavior at a community-scale level. Activation of the QS response leads to a decrease in the rate of cellular growth, while activates expression of genes involved in a range of alternative activities. Thus, if genes of industrial interest are incorporated into the Z. mobilis genome, under the control of AI-2 responsive promoters, it would be possible to induce their expression in a controlled way, by adding this signaling molecule to Z. mobilis cultures, since, although sensitive to AI-2, this bacterium is not capable of synthesizing it. Thus, the project proposed herein aims at characterizing Z. mobilis response to the QS autoinducer AI-2, identifying the genes/operons that have their expression modulated in response to this molecule, as well as the cis- and trans-acting elements (promoters and transcription factors) that mediate this process. These studies will lead to the isolation and functional characterization of first inducible promoters in Z. mobilis, which can be developed (and eventually patented) into an important tool for Z. mobilis manipulation, with possible application in a wide variety of industrial bioproceses, allowing the expression of transgenes in this bacterium, under controlled and optimized conditions. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BARBOSA, DAVID ACIOLE; MENEGIDIO, FABIANO BEZERRA; ALENCAR, VALQUIRIA CAMPOS; GONCALVES, RAFAEL S.; SANTOS SILVA, JULIANA DE FATIMA; VILAS BOAS, RENATA OZELAMI; LIMA FAUSTINO DE MARIA, YARA NATERCIA; JABES, DANIELA LEITE; DE OLIVEIRA, REGINA COSTA; NUNES, LUIZ R. ParaDB: A manually curated database containing genomic annotation for the human pathogenic fungi Paracoccidioides spp.. PLoS Neglected Tropical Diseases, v. 13, n. 7 JUL 2019. Web of Science Citations: 0.
MENEGIDIO, FABIANO B.; BARBOSA, DAVID ACIOLE; GONCALVES, RAFAEL DOS S.; NISHIME, MARCIO M.; JABES, DANIELA L.; DE OLIVEIRA, REGINA COSTA; NUNES, LUIZ R. Bioportainer Workbench: a versatile and user-friendly system that integrates implementation, management, and use of bioinformatics resources in Docker environments. GIGASCIENCE, v. 8, n. 4 APR 2019. Web of Science Citations: 1.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.